DocumentCode :
1649974
Title :
Improved dynamic performance of type-2 fuzzy based DTC induction motor using SVPWM
Author :
Naik, N. Venkataramana ; Singh, S.P.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India
fYear :
2012
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents space vector PWM (SVPWM) technique for Direct torque Control of induction motor drive, SVPWM gives the lower ripples in current and voltage with low torque distortion. Further the switching losses are reduced for a given switching frequency due to single switching transition takes place in each state of the vector. The PI-control (PIC) doesn´t give the good dynamic performance of the induction motor drive using two level Voltage Source Inverter due to sudden changes in the load and speed. Further, to improve dynamic performance in the torque and Flux of induction motor drive is simulated using type-2 fuzzy logic control in place of PI-Control. The concept of type-2 fuzzy set initially proposed as an extension of classical (type-1) fuzzy sets. Type-2 fuzzy sets are very useful in circumstances where it is difficult to determine an exact membership function for a fuzzy set; hence, they are very effective for dealing with uncertainties. However, type-2 fuzzy sets are more difficult to understand than type-1 fuzzy sets. Even in the face of these difficulties, type-2 fuzzy logic has found applications in many fields like decision making in critical load.
Keywords :
decision making; fuzzy control; fuzzy set theory; induction motor drives; machine control; torque control; PI-control; SVPWM; decision making; direct torque control; improved dynamic performance; motor drive induction flux; space vector PWM; torque distortion; type-2 fuzzy based DTC induction motor; type-2 fuzzy logic control; type-2 fuzzy set; voltage source inverter; Fuzzy logic; Induction motors; Space vector pulse width modulation; Torque; Torque control; Vectors; Space vector PWM; Two level Voltage Source Inverter and Direct Torque Control of Induction Motor; Type-2 Fuzzy logic Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, Drives and Energy Systems (PEDES), 2012 IEEE International Conference on
Conference_Location :
Bengaluru
Print_ISBN :
978-1-4673-4506-4
Type :
conf
DOI :
10.1109/PEDES.2012.6484254
Filename :
6484254
Link To Document :
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